216 citations · 233 across the 3 of their papers we have counts for
4 papers
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments
Andreas van Cranenburgh, Corina Koolen
It is an open question to what extent perceptions of literary quality are derived from text-intrinsic versus social factors. While supervised models can predict literary quality ra…
A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News
Corbèn Poot, Andreas van Cranenburgh
We evaluate a rule-based (Lee et al., 2013) and neural (Lee et al., 2018) coreference system on Dutch datasets of two domains: literary novels and news/Wikipedia text. The results…
Embarrassingly Simple Unsupervised Aspect Extraction
Stéphan Tulkens, Andreas van Cranenburgh
We present a simple but effective method for aspect identification in sentiment analysis. Our unsupervised method only requires word embeddings and a POS tagger, and is therefore s…
BERTje: A Dutch BERT Model
Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza +3
The transformer-based pre-trained language model BERT has helped to improve state-of-the-art performance on many natural language processing (NLP) tasks. Using the same architectur…